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Policy based self-management in distributed environments
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.
2010 (English)In: 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop (SASOW), IEEE Computer Society Digital Library, 2010, 256-260 p.Conference paper, Published paper (Refereed)
Abstract [en]

  Currently, increasing costs and escalating complexities are primary issues in the distributed system management. The policy based management is introduced to simplify the management and reduce the overhead, by setting up policies to govern system behaviors. Policies are sets of rules that govern the system behaviors and reflect the business goals or system management objectives. This paper presents a generic policy-based management framework which has been integrated into an existing distributed component management system, called Niche, that enables and supports self-management. In this framework, programmers can set up more than one Policy-Manager-Group to avoid centralized policy decision making which could become a performance bottleneck. Furthermore, the size of a Policy-Manager-Group, i.e. the number of Policy-Managers in the group, depends on their load, i.e. the number of requests per time unit. In order to achieve good load balancing, a policy request is delivered to one of the policy managers in the group randomly chosen on the fly. A prototype of the framework is presented and two generic policy languages (policy engines and corresponding APIs), namely SPL and XACML, are evaluated using a self-managing file storage application as a case study.

Place, publisher, year, edition, pages
IEEE Computer Society Digital Library, 2010. 256-260 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-12958DOI: 10.1109/SASOW.2010.72Scopus ID: 2-s2.0-79953144963ISBN: 978-1-4244-8684-7 (print)OAI: oai:DiVA.org:kth-12958DiVA: diva2:319888
Conference
Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop (SASOW)
Projects
FP6 project Grid4All (contract IST-2006-034567) funded by the European Commission
Note
QC 20100520 VV 20111211Available from: 2010-05-20 Created: 2010-05-20 Last updated: 2011-12-27Bibliographically approved
In thesis
1. Enabling and Achieving Self-Management for Large Scale Distributed Systems: Platform and Design Methodology for Self-Management
Open this publication in new window or tab >>Enabling and Achieving Self-Management for Large Scale Distributed Systems: Platform and Design Methodology for Self-Management
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Autonomic computing is a paradigm that aims at reducing administrative overhead by using autonomic managers to make applications self-managing. To better deal with large-scale dynamic environments; and to improve scalability, robustness, and performance; we advocate for distribution of management functions among several cooperative autonomic managers that coordinate their activities in order to achieve management objectives. Programming autonomic management in turn requires programming environment support and higher level abstractions to become feasible.

In this thesis we present an introductory part and a number of papers that summaries our work in the area of autonomic computing. We focus on enabling and achieving self-management for large scale and/or dynamic distributed applications. We start by presenting our platform, called Niche, for programming self-managing component-based distributed applications. Niche supports a network-transparent view of system architecture simplifying designing application self-* code.  Niche provides a concise and expressive API for self-* code. The implementation of the framework relies on scalability and robustness of structured overlay networks. We have also developed a distributed file storage service, called YASS, to illustrate and evaluate Niche.

After introducing Niche we proceed by presenting a methodology and design space for designing the management part of a distributed self-managing application in a distributed manner. We define design steps, that includes partitioning of management functions and orchestration of multiple autonomic managers. We illustrate the proposed design methodology by applying it to the design and development of an improved version of our distributed storage service YASS as a case study.

We continue by presenting a generic policy-based management framework which has been integrated into Niche. Policies are sets of rules that govern the system behaviors and reflect the business goals or system management objectives. The policy based management is introduced to simplify the management and reduce the overhead, by setting up policies to govern system behaviors. A prototype of the framework is presented and two generic policy languages (policy engines and corresponding APIs), namely SPL and XACML, are evaluated using our self-managing file storage application YASS as a case study.

Finally, we present a generic approach to achieve robust services that is based on finite state machine replication with dynamic reconfiguration of replica sets. We contribute a decentralized algorithm that maintains the set of resource hosting service replicas in the presence of churn. We use this approach to implement robust management elements as robust services that can operate despite of churn.

 

Place, publisher, year, edition, pages
Stockholm: Universitetsservice US AB, 2010. 42 p.
Series
Trita-ICT-ECS AVH, ISSN 1653-6363 ; 10:01
Keyword
Autonomic Computing, Self-Management, Distributed Systems
National Category
Computer Science
Identifiers
urn:nbn:se:kth:diva-12377 (URN)978-91-7415-589-1 (ISBN)
Presentation
2010-04-09, Sal D, Isajordsgatan 39, Kista, Sweden, Forum IT-Universitetet, KTH, 14:00 (English)
Opponent
Supervisors
Note
QC 20100520Available from: 2010-05-20 Created: 2010-04-13 Last updated: 2012-02-22Bibliographically approved

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